Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Postmodern Portfolio Theory: Navigating Abnormal Markets and Investor Behavior

Postmodern Portfolio Theory: Navigating Abnormal Markets and Investor Behavior

Chen, James Ming

Hardcover

Series: Quantitative Perspectives on Behavioral Economics and Financ

Economics

ISBN10: 1137544635
ISBN13: 9781137544636
Publisher: Palgrave MacMillan
Published: Aug 10 2016
Pages: 339
Weight: 1.21
Height: 0.96 Width: 6.05 Depth: 8.72
Language: English
This survey of portfolio theory, from its modern origins through more sophisticated, postmodern incarnations, evaluates portfolio risk according to the first four moments of any statistical distribution: mean, variance, skewness, and excess kurtosis. In pursuit of financial models that more accurately describe abnormal markets and investor psychology, this book bifurcates beta on either side of mean returns. It then evaluates this traditional risk measure according to its relative volatility and correlation components. After specifying a four-moment capital asset pricing model, this book devotes special attention to measures of market risk in global banking regulation. Despite the deficiencies of modern portfolio theory, contemporary finance continues to rest on mean-variance optimization and the two-moment capital asset pricing model. The term postmodern portfolio theory captures many of the advances in financial learning since the original articulation ofmodern portfolio theory. A comprehensive approach to financial risk management must address all aspects of portfolio theory, from the beautiful symmetries of modern portfolio theory to the disturbing behavioral insights and the vastly expanded mathematical arsenal of the postmodern critique. Mastery of postmodern portfolio theory's quantitative tools and behavioral insights holds the key to the efficient frontier of risk management.

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